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SS 211 abc: Advanced Economic Theory
9.00 Credits
California Institute of Technology
Advanced work in a specialized area of economic theory, with topics varying from year to year according to the interests of students. Instructor: Saito, Yariv, Elliott.
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SS 211 abc - Advanced Economic Theory
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SS 212: Application of Microeconomic Theory
9.00 Credits
California Institute of Technology
A working seminar in which the tools of microeconomic theory are applied to the explanation of events and the evaluation of policy. Not offered 2012–13.
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SS 212 - Application of Microeconomic Theory
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SS 213 abc: Financial Economics
9.00 Credits
California Institute of Technology
First term: asset pricing theory, statistical tests on historical data and evidence from financial markets experiments. Second term: financial econometrics, with emphasis on applications to risk management. Third term: general equilibrium foundations of asset and option pricing theory. Instructor: Bossaerts. Part a offered first term.
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SS 213 abc - Financial Economics
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SS 214: Mathematical Finance
9.00 Credits
California Institute of Technology
A course on fundamentals of the mathematical modeling of stock prices and interest rates, the theory of option pricing, risk management, and optimal portfolio selection. Students will be introduced to the stochastic calculus of various continuous-time models, including diffusion models and models with jumps. Not offered 2012–13.
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SS 214 - Mathematical Finance
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SS 216: Interdisciplinary Studies in Law and Social Policy
9.00 Credits
California Institute of Technology
A policy problem or problems involving the legal system will be studied, using concepts from at least one social science discipline. Each offering will be taught by a law professor, alone or in conjunction with a member of the social science faculty. The topic will differ from term to term, so the course may be taken more than once. Selected undergraduates may enroll in this course with the permission of the instructor. Not offered 2012–13.
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SS 216 - Interdisciplinary Studies in Law and Social Policy
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SS 218: Neuroscience Applications to Economics and Politics
9.00 Credits
California Institute of Technology
Topics in behavioral, affective, and social neuroscience that inform how individuals make economic decisions. Applications of neuroscience to understanding choice under risk and uncertainty, temporal discounting and self-control, advertisement and preference formation, addiction and other pathological behaviors, experienced utility, empathy, and trust. Not offered 2012–13.
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SS 218 - Neuroscience Applications to Economics and Politics
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SS 222 abc: Econometrics
9.00 Credits
California Institute of Technology
Introduction to the use of multivariate and nonlinear methods in the social sciences. Open to Social Science graduate students only. Instructors: Shum, Gillen, Sherman.
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SS 222 abc - Econometrics
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SS 223 abc: Advanced Topics in Econometric Theory
9.00 Credits
California Institute of Technology
A course in quantitative methods for second- and third-year social science graduate students. Instructors: Sherman, Shum, Gillen.
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SS 223 abc - Advanced Topics in Econometric Theory
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SS 227: Identification Problems in the Social Sciences
9.00 Credits
California Institute of Technology
There is a tension in modeling social science phenomena between making strong assumptions, which lead to descriptive or normative conclusions that are precise when the assumptions hold but invalid when they do not hold, and making weak assumptions, which lead to less precise conclusions but hold more generally. The preponderance of social science research to date takes the former approach. This course studies recent advances in the latter approach. The course will review the work of Manski on bounds identification and estimation and trace some of the developments in this line of research to the present. Various applications of the methodology will be considered, including applications to Stanford-9 test-score data and data on organic pollutants in the Love Canal. Not offered 2012–13.
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SS 227 - Identification Problems in the Social Sciences
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SS 228: Applied Data Analysis for the Social Sciences
9.00 Credits
California Institute of Technology
The course covers issues of management and computation in the statistical analysis of large social science databases. Maximum likelihood and Bayesian estimation will be the focus. This includes a study of Markov Chain Monte Carlo (MCMC) methods. Substantive social science problems will be addressed by integrating programming, numerical optimization, and statistical methodology. Not offered 2012–13.
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SS 228 - Applied Data Analysis for the Social Sciences
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